Evaluating the severity level of cotton Verticillium using spectral signature analysis-Reference-Cited by-同舟云学术

Evaluating the severity level of cotton Verticillium using spectral signature analysis

Published:2011-10-10 Issue:9 Volume:33 Page:2706-2724
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Chen Bing¹²,Li Shaokun¹³⁴,Wang Keru¹³⁴,Zhou Guoqing⁵,Bai Junhua³⁴

Affiliation:

1. a The Key Oasis Eco-Agriculture Laboratory of Xinjiang Production and Construction Group , Shihezi University , Shihezi, Xinjiang, 832000, PR China

2. b Institute of Cotton, Xinjing Academy of Agricultural and Reclamation Sciences , Shihezi, Xinjiang, 832000, PR China

3. c Institute of Crop Science, Chinese Academy of Agricultural Sciences , Beijing, 100081, PR China

4. d Key Laboratory of Crop Physiology and Production, Ministry of Agriculture , Beijing, 100081, PR China

5. e Department of Modeling, Simulation and Visualization Engineering , Old Dominion University , Kaufman Hall, Room 214, Norfolk, VA, 23529, USA

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2011.619586

Reference29 articles.

1. Toward the Discrimination of Manganese, Zinc, Copper, and Iron Deficiency in ‘Bragg’ Soybean Using Spectral Detection Methods

2. Yellowness index: An application of spectral second derivatives to estimate chlorosis of leaves in stressed vegetation

3. Detecting sugarcane ‘orange rust’ disease using EO-1 Hyperion hyperspectral imagery

4. Spectral reflectance of healthy and diseased watermelon leaves

5. Leaf optical properties in higher plants: linking spectral characteristics to stress and chlorophyll concentration

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